Next Article in Journal
Addressing the Modelling Precision in Evaluating the Ecosystem Services of Coastal Wetlands
Next Article in Special Issue
“What Kind of a Science is Sustainability Science?” An Evidence-Based Reexamination
Previous Article in Journal
A New Framework to Evaluate Urban Design Using Urban Microclimatic Modeling in Future Climatic Conditions
Previous Article in Special Issue
Disentangling the Complex Effects of Socioeconomic, Climatic, and Urban Form Factors on Air Pollution: A Case Study of China
Open AccessArticle

Quantifying Surface Coal-Mining Patterns to Promote Regional Sustainability in Ordos, Inner Mongolia

by Xiaoji Zeng 1,2, Zhifeng Liu 1,2,*, Chunyang He 1,2, Qun Ma 1,2 and Jianguo Wu 1,3
1
Center for Human-Environment System Sustainability (CHESS), State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE), Beijing Normal University, Beijing 100875, China
2
Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
3
School of Life Sciences and School of Sustainability, Arizona State University, Tempe, AZ 85287, USA
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(4), 1135; https://doi.org/10.3390/su10041135
Received: 20 March 2018 / Revised: 6 April 2018 / Accepted: 7 April 2018 / Published: 10 April 2018
Ordos became the new “coal capital” of China within a few decades since the country’s economic reform in 1978, as large-scale surface coal mining dramatically propelled its per capita GDP from being one of the lowest to one of the highest in China, exceeding Hong Kong in 2009. Surface coal-mining areas (SCMAs) have continued to expand in this region during recent decades, resulting in serious environmental and socioeconomic consequences. To understand these impacts and promote regional sustainability, quantifying the spatiotemporal patterns of SCMAs is urgently needed. Thus, the main objectives of this study were to quantify the spatiotemporal patterns of SCMAs in the Ordos region from 1990 to 2015, and to examine some of the major environmental and socioeconomic impacts in the study region. We extracted the SCMAs using remote-sensing data, and then quantified their spatiotemporal patterns using landscape metrics. The loss of natural habitat and several socioeconomic indicators were examined in relation to surface coal mining. Our results show that the area of SCMAs increased from 7.12 km2 to 355.95 km2, an increase of nearly 49 times from 1990 to 2015 in the Ordos region. The number of SCMAs in this region increased from 82 to 651, a nearly seven-fold increase. In particular, Zhungeer banner (an administrative division), Yijinhuoluo banner, Dongsheng District and Dalate banner in the north-eastern part of the Ordos region had higher growth rates of SCMAs. The income gap between urban and rural residents increased along with the growth in SCMAs, undermining social equity in the Ordos region. Moreover, the rapid increase in SCMAs resulted in natural habitat loss (including grasslands, forests, and deserts) across this region. Thus, we suggest that regional sustainability in Ordos needs to emphasize effective measures to curb large-scale surface coal mining in order to reduce the urban–rural income gap, and to restore degraded natural ecosystems. View Full-Text
Keywords: surface coal-mining area; spatiotemporal patterns; environmental sustainability; socioeconomic conditions; Ordos surface coal-mining area; spatiotemporal patterns; environmental sustainability; socioeconomic conditions; Ordos
Show Figures

Figure 1

MDPI and ACS Style

Zeng, X.; Liu, Z.; He, C.; Ma, Q.; Wu, J. Quantifying Surface Coal-Mining Patterns to Promote Regional Sustainability in Ordos, Inner Mongolia. Sustainability 2018, 10, 1135.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop